Abstract
Labelled Markov processes are continuous-state fully probabilistic labelled transition systems. They can be seen as co-algebras of a suitable monad on the category of measurable space. The theory as developed so far included a treatment of bisimulation, logical characterization of bisimulation, weak bisimulation, metrics, universal domains for LMPs and approximations. Much of the theory involved delicate properties of analytic spaces.
Recently a new kind of averaging procedure was used to construct approximations. Remarkably, this version of the theory uses a dual view of LMPs and greatly simplifies the theory eliminating the need to consider aanlytic spaces. In this talk I will survey some of the ideas that led to this work.
Recently a new kind of averaging procedure was used to construct approximations. Remarkably, this version of the theory uses a dual view of LMPs and greatly simplifies the theory eliminating the need to consider aanlytic spaces. In this talk I will survey some of the ideas that led to this work.
| Original language | English |
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| Title of host publication | Algebra and Coalgebra in Computer Science |
| Subtitle of host publication | Third International Conference, CALCO 2009, Udine, Italy, September 7-10, 2009. Proceedings |
| Editors | Alexander Kurz, Marina Lenisa, Andrzej Tarlecki |
| Publisher | Springer |
| Pages | 145-156 |
| Number of pages | 12 |
| Volume | 5728 |
| ISBN (Electronic) | 978-3-642-03741-2 |
| ISBN (Print) | 978-3-642-03740-5 |
| DOIs | |
| Publication status | Published - 2009 |
Publication series
| Name | Lecture Notes in Computer Science |
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| Publisher | Springer Berlin Heidelberg |
| Volume | 5728 |